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Remove repeated comments

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Nelson Brown
2014-07-15 08:03:31 -07:00
parent a1519a015e
commit 001a63bd21
2 changed files with 0 additions and 36 deletions
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skimage/morphology/binary.py
-12
View File
@@ -53,10 +53,6 @@ def binary_erosion(image, selem=None, out=None):
return np.equal(conv, selem_sum, out=out)
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def binary_dilation(image, selem=None, out=None):
"""Return fast binary morphological dilation of an image.
@@ -102,10 +98,6 @@ def binary_dilation(image, selem=None, out=None):
return np.not_equal(conv, 0, out=out)
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def binary_opening(image, selem=None, out=None):
"""Return fast binary morphological opening of an image.
@@ -140,10 +132,6 @@ def binary_opening(image, selem=None, out=None):
return out
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def binary_closing(image, selem=None, out=None):
"""Return fast binary morphological closing of an image.
skimage/morphology/grey.py
-24
View File
@@ -8,10 +8,6 @@ from . import cmorph
__all__ = ['erosion', 'dilation', 'opening', 'closing', 'white_tophat',
'black_tophat']
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def erosion(image, selem=None, out=None, shift_x=False, shift_y=False):
"""Return greyscale morphological erosion of an image.
@@ -66,10 +62,6 @@ def erosion(image, selem=None, out=None, shift_x=False, shift_y=False):
shift_x=shift_x, shift_y=shift_y)
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def dilation(image, selem=None, out=None, shift_x=False, shift_y=False):
"""Return greyscale morphological dilation of an image.
@@ -126,10 +118,6 @@ def dilation(image, selem=None, out=None, shift_x=False, shift_y=False):
shift_x=shift_x, shift_y=shift_y)
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def opening(image, selem=None, out=None):
"""Return greyscale morphological opening of an image.
@@ -183,10 +171,6 @@ def opening(image, selem=None, out=None):
return out
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def closing(image, selem=None, out=None):
"""Return greyscale morphological closing of an image.
@@ -240,10 +224,6 @@ def closing(image, selem=None, out=None):
return out
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def white_tophat(image, selem=None, out=None):
"""Return white top hat of an image.
@@ -295,10 +275,6 @@ def white_tophat(image, selem=None, out=None):
return out
# Our functions only work in 2D, so for 3D or higher input we should fall back
# on `scipy.ndimage`. Additionally, we want to use a cross-shaped structuring
# element of the appropriate dimension for each of these functions.
# The `default_callback` provides all these.
@default_fallback
def black_tophat(image, selem=None, out=None):
"""Return black top hat of an image.